Methodology
How we pick these
The Smart Money Confluence leaderboard isn't a random stock screen. It's the public read of the institutional research framework Leaving The Matrix has been teaching for years, run across the S&P 500 + S&P 400 universe every weekday morning before market open.
The lens
Three things matter, in this order:
- Quality. Solid fundamentals, steady or growing revenue, improving margins, manageable debt. We don't buy struggling businesses just because they're cheap.
- Discount. Price meaningfully below where the stock has traded historically — measured against the ticker's own 5-year median, not the sector. Quality names usually trade at a premium to sector averages; comparing against sector would penalize the names we want to find.
- Smart-money confirmation. Insiders buying with their own money. Congressional trades on the same name. 13F filings showing billionaire desks adding or initiating positions. When these align with quality + discount, that's confluence.
The 12 layers
Each ticker gets scored 0–100 across twelve institutional layers, grouped into four categories:
- Quality
- Fundamentals + valuation against the ticker's own 5-year history.
- Smart Money
- Insider Form 4 filings, congressional STOCK Act trades, billionaire 13F position changes. When 2 of 3 fire on the same ticker, the score gets a confluence bonus.
- Long-horizon context
- Multi-year track record + proximity to the 200-day and 200-week moving averages — the canonical "no-brainer buy zone" for quality on sale.
- Trading cadence
- Technical mean-reversion read, options-flow skew, news velocity, macro regime. The technical layer is intentionally contrarian-weighted — we're hunting quality on sale, not chasing breakouts.
The Rule of 40 quality bar
The public leaderboard only shows names that clear the Rule of 40: trailing-twelve-month revenue growth percentage plus trailing- twelve-month operating margin percentage must sum to at least 40. It's the classic quality compounder filter — a business that's either growing fast or earning real money on what it sells, ideally both. Names that can't compute the Rule of 40 (early-stage businesses, ETFs, certain financials) are excluded from the public board.
What you see vs what members see
The public page shows ticker, sector, Nova Score, Rule of 40, and which smart-money layers fired. Red Pill members get the full institutional read for every ticker on the board:
- Insider buy clusters with officer names, roles, dollar amounts, and dates from Form 4 filings
- Congressional trades by member + party + date + dollar bucket
- Billionaire fund holdings with portfolio weights and quarter-over-quarter changes
- Options-flow skew across unusual contracts
- Nova Fair Value gauge blending analyst targets, P/E vs history, PEG, FCF yield, reverse DCF
- Deterministic thesis tying it back to the Quality × Discount × Smart-money lens
- The Smart Money panel — cross-ticker views of insider, congress, billionaire, and options-flow activity
- Trade Scanner — Minervini SEPA template + VCP detection for active swing setups
- Nova Fund weekly memos — the AI-managed paper-trading portfolio that applies this lens to real allocations
Refresh cadence
The underlying scan runs every weekday at market open via a GitHub Actions cron. The leaderboard you see is the most recent run — no intraday updates, no real-time price feeds, no streaming. The lens is multi-week to multi-month, so day-to-day fluctuations don't change the picks much.
What this is and isn't
This is a framework applied at scale, in public, for free. It is not personalized financial advice. It is not a buy list. It is not a guarantee that any of these names will go up. The lens has identified the configuration we care about — what you do with that information is your decision.